Search User Interfaces
Abstract
The truly world-wide reach of the Web has brought with it a new realisation of the enormous importance of usability and user interface design. In the last ten years, much has become understood about what works in search interfaces from a usability perspective, and what does not. Researchers and practitioners have developed a wide range of innovative interface ideas, but only the most broadly acceptable make their way into major web search engines. This book summarizes these developments, presenting the state of the art of search interface design, both in academic research and in deployment in commercial systems. Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information systems.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A result page shows about ten results in a vertical list ordered by estimated relevance, each with a title and a snippet that helps a person decide whether to click.
“A result page shows about ten results in a vertical list ordered by estimated relevance, each with a title and a snippet that helps a person decide whether to click [25].”
From Agentic Memory Management Is the Next Frontier of Information Retrieval (2026) · cites this paper as [25]
Cited by
Sorted by citations
Example-centric programming: integrating web search into the development environment
Brandt, J., Dontcheva, M., Weskamp, M., & Klemmer, S. R. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753402 · Cited by 324 · see citing works
Bickmore, T. W., Utami, D., Matsuyama, R., & Paasche-Orlow, M. K. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5239 · Cited by 153 · see citing works
Sahib, N. G., Tombros, A., & Stockman, T. (2012) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21696 · Cited by 83 · see citing works
Jiang, E., Toh, E., Molina, A., Olson, K., Kayacik, C., Donsbach, A., Cai, C. J., & Terry, M. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3501870 · Cited by 79 · see citing works
Beyond Ranking: Optimizing Whole-Page Presentation
Wang, Y., Yin, D., Jie, L., Wang, P., Yamada, M., Chang, Y., & Mei, Q. (2016) · Proceedings of the Ninth ACM International Conference on Web Search and Data Mining · doi:10.1145/2835776.2835824 · Cited by 66 · see citing works
A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity
Vtyurina, A., Clarke, C. L. A., Law, E., Trippas, J. R., & Bota, H. (2020) · Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval · doi:10.1145/3409256.3409822 · Cited by 29 · see citing works
Aqle, A., Al-Thani, D., & Jaoua, A. (2022) · Universal Access in the Information Society · doi:10.1007/s10209-020-00777-w · Cited by 16 · see citing works
- Authors
- Hearst, M. A.
- Affiliations
- University of California, Berkeley (US)
- Corresponding author
- Hearst, Marti A.
- ORCID
- Hearst, Marti A.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2009-09-21
- OpenAlex
- W2099561919
- Cited by
- 797
- References
- 0
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 35 · 2023: 21 · 2022: 22 · 2021: 19 · 2020: 40 · 2019: 28 · 2018: 57 · 2017: 42 · 2016: 67 · 2015: 60 · 2014: 91 · 2013: 77 · 2012: 72
- FWCI
- 52.67
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Keywords
- search user interfaces, search engines, usability, user interface design, information retrieval, search interface design
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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